Janet Mills US Inactive
Mills for Maine
Deadline approaching >>
Ad copy
We’re coming up on a critical deadline, and we need your help to finish strong. Election Day is quickly approaching, and we need to keep our momentum to keep moving Maine forward. Can I count on you to donate $5, $10, whatever you can, so we can win on November 8th?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.1/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 59.2 · 12.4 · 59.1 |
| Spend range | USD 500–599 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 31.4 |
| Est. audience size | — |
| Days live | 46 (2022-09-27 → 2022-11-12) |
| Created | 2022-09-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative |
| Tactic | The ad leverages a hard deadline and direct personal appeal ('Can I count on you') to drive small-dollar donations ahead of Election Day, using urgency and momentum framing to motivate giving. |
Where it ran (delivery by region)
| California | 10.7% |
| New York | 7.3% |
| Massachusetts | 6.8% |
| Pennsylvania | 5.0% |
| Michigan | 4.9% |
| Florida | 4.5% |
| Washington | 4.1% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 55-64 · female | 9.7% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 1.1% |
| 13-17 · female | 0.0% |
| 18-24 · male | 0.5% |
| 45-54 · male | 2.3% |
| 45-54 · female | 2.0% |
| 55-64 · male | 8.2% |
| 65+ · female | 41.9% |
| 45-54 · unknown | 0.1% |
| 65+ · male | 30.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.0% |
| 25-34 · female | 0.6% |
| 35-44 · female | 0.7% |
| 25-34 · male | 1.0% |
| 18-24 · female | 0.3% |
| 55-64 · unknown | 0.3% |
